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Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates.

, , , , , , , , , and . EACL, page 1698-1712. Association for Computational Linguistics, (2021)

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Noun Compositionality Detection Using Distributional Semantics for the Russian Language., , , and . AIST, volume 11832 of Lecture Notes in Computer Science, page 218-229. Springer, (2019)Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models., and . AIST (Supplement), volume 1573 of Communications in Computer and Information Science, page 3-16. Springer, (2021)Active Learning for Conversational Interfaces in Healthcare Applications., , and . AIH@IJCAI (Revised Selected Papers), volume 11326 of Lecture Notes in Computer Science, page 48-58. Springer, (2018)Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection., , , , and . AAAI, page 13675-13682. AAAI Press, (2021)Vote'n'Rank: Revision of Benchmarking with Social Choice Theory., , , , , , , and . EACL, page 670-686. Association for Computational Linguistics, (2023)Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF., and . BSNLP@ACL, page 94-99. Association for Computational Linguistics, (2019)Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates., , , , , , , , , and . EACL, page 1698-1712. Association for Computational Linguistics, (2021)Acceptability Judgements via Examining the Topology of Attention Maps., , , , , , , , , and . EMNLP (Findings), page 88-107. Association for Computational Linguistics, (2022)TAPE: Assessing Few-shot Russian Language Understanding., , , , , , , , , and 4 other author(s). EMNLP (Findings), page 2472-2497. Association for Computational Linguistics, (2022)SumTitles: a Summarization Dataset with Low Extractiveness., , , and . COLING, page 5718-5730. International Committee on Computational Linguistics, (2020)